Logic locking protects the integrity of hardware designs throughout the
...
We propose FPGA-Patch, the first-of-its-kind defense that leverages auto...
The participation of third-party entities in the globalized semiconducto...
Graph neural networks (GNNs) have shown great success in detecting
intel...
Extracting the architecture of layers of a given deep neural network (DN...
Oracle-less machine learning (ML) attacks have broken various logic lock...
We propose TrojanSAINT, a graph neural network (GNN)-based hardware Troj...
Graph neural networks (GNNs) have pushed the state-of-the-art (SOTA) for...
Due to cost benefits, supply chains of integrated circuits (ICs) are lar...
The globalization of the Integrated Circuit (IC) market is attracting an...
Graph neural networks (GNNs) have attracted increasing attention due to ...
Process variations and device aging impose profound challenges for circu...
The advancements of deep neural networks (DNNs) have led to their deploy...
Logic locking has received considerable interest as a prominent techniqu...
Logic locking aims to prevent intellectual property (IP) piracy and
unau...
Logic locking aims to protect the intellectual property (IP) of integrat...
In this paper, we propose GNNUnlock, the first-of-its-kind oracle-less
m...
While financially advantageous, outsourcing key steps, such as testing, ...